1,196 results match your criteria: "Saint John's Health Center[Affiliation]"

Article Synopsis
  • Brain MRI with volumetric quantification helps distinguish between neurocognitive disorders by detecting brain atrophy not visible in standard visual assessments.
  • A study with 137 participants revealed MRI volumetry's effectiveness in diagnosing traumatic brain injury and various forms of Alzheimer's disease, highlighting significant differences in brain volumes among the conditions.
  • The results showed that the diagnostic accuracy was highest for traumatic brain injury, with specific brain regions identified as crucial predictive features for distinguishing between the disorders.
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Aim(s): To describe a sample of healthcare professionals' responses to the valid and reliable Climate and Health Tool and compare participant characteristics relating to Climate and Health Tool subscales.

Design: Observational, cross-sectional, multi-site study.

Methods: An electronic survey containing the Climate and Health Tool was administered to healthcare professionals across a large, multi-state health system in the Western United States with a committed effort to reducing carbon emissions.

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Time series data are recorded in various sectors, resulting in a large amount of data. However, the continuity of these data is often interrupted, resulting in periods of missing data. Several algorithms are used to impute the missing data, and the performance of these methods is widely varied.

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Mesenchymal Stromal Cell Implants for Chronic Motor Deficits After Traumatic Brain Injury: Post Hoc Analysis of a Randomized Trial.

Neurology

October 2024

From the Department of Neurological Surgery (D.O.O.), University of Pittsburgh Medical Center, PA; New England Institute for Neurology and Headache (P.M.), Stamford, CT; Department of Neurosurgery (A.S.A.), Loma Linda University Medical Center, CA; Department of Neurosurgery (Y.K.), The University of Tokyo Hospital, Japan; Department of Neurosurgery (M.K.), Hokkaido University Hospital, Sapporo, Japan; Department of Neurology (S.C.C.), University of California, Los Angeles; Westview Clinical Research (A.L.), Placentia, CA; Department of Translational Neurosciences (S.K.), Providence Saint John's Health Center, Santa Monica, CA; The Neurology Center of Southern California (B.M.F.), Carlsbad, CA; Department of Neurology (L.I.G.), University of California, Irvine; UCSF Weill Institute for Neurosciences (A.S.K.), Department of Neurology, University of California, San Francisco; Department of Neurology and Neurological Sciences (N.E.S.), and Stanford Stroke Center, Stanford University School of Medicine and Stanford Health Care, CA; Department of Neurological Surgery (J.W.C.), University of California, Irvine; JCHO Tokyo Shinjuku Medical Center (H.I.), Japan; Department of Neurological Surgery (T.Y.), Okayama University Graduate School of Medicine, Japan; SanBio, Inc. (D.C., B.N., D.B.), Mountain View, CA; Watson & Stonehouse Enterprises LLC (A.H.S.), Pacific Grove, CA; Massachusetts General Hospital and Harvard Medical School (R.M.R.), Boston; Department of Neurosurgery and Stanford Stroke Center (G.K.S.), Stanford University School of Medicine and Stanford Health Care, CA; Biostatistical Consulting Inc. (E.C.P.), Mountain View, CA; and Neurotrauma Rehabilitation Associates LLC (A.H.W.), Littleton, CO.

Background And Objectives: Traumatic brain injury (TBI) is frequently characterized by chronic motor deficits. Therefore, this clinical trial assessed whether intracranial implantation of allogeneic modified mesenchymal stromal (SB623) cells can improve chronic motor deficits after TBI.

Methods: Post hoc analysis of the double-blind, randomized, prospective, surgical sham-controlled, phase 2, STEMTRA clinical trial (June 2016 and March 2019) with 48 weeks of follow-up was conducted.

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Deep Learning Segmentation of Infiltrative and Enhancing Cellular Tumor at Pre- and Posttreatment Multishell Diffusion MRI of Glioblastoma.

Radiol Artif Intell

September 2024

From the Departments of Radiology (L.G., D.G., C.C., T.M.S., U.N., N.F., A.M.D., J.D.R.), Pathology (V.G.), Radiation Medicine and Applied Sciences (C.R.M., T.M.S., J.H.G.), Neurologic Surgery (T.B.), Bioengineering (T.M.S.), and Neurosciences (J.D.S., D.P., A.M.D.), University of California San Diego, 9500 Gillman Dr, La Jolla, CA 92093; Cortechs.ai, San Diego, Calif (G.M., N.W.); Department of Translational Neurosciences, Pacific Neuroscience Institute and Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, Calif (S.K.); and Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wis (K.M.S.).

Purpose To develop and validate a deep learning (DL) method to detect and segment enhancing and nonenhancing cellular tumor on pre- and posttreatment MRI scans in patients with glioblastoma and to predict overall survival (OS) and progression-free survival (PFS). Materials and Methods This retrospective study included 1397 MRI scans in 1297 patients with glioblastoma, including an internal set of 243 MRI scans (January 2010 to June 2022) for model training and cross-validation and four external test cohorts. Cellular tumor maps were segmented by two radiologists on the basis of imaging, clinical history, and pathologic findings.

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Context: The ability to differentiate sporadic primary hyperparathyroidism (sPHPT) caused by a single parathyroid adenoma (PTA) from multiglandular disease (MGD) pre-operatively, as well as definitely diagnose sPHPT in difficult patients, would enhance surgical decision making.

Objective: Identify miRNA (miR) signatures for MGD, single- and double-PTA, as well as cell-free miRNA (cfmiR) in plasma samples from patients with single-PTAs to use as biomarkers.

Design/setting/patients: 47 patients with sPHPT (single-PTA n=32, double-PTA n=12, MGD n=9).

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As cutting-edge technologies applied for the study of body fluid molecular biomarkers are continuously evolving, clinical applications of these biomarkers improve. Diverse forms of circulating molecular biomarkers have been described, including cell-free DNA (cfDNA), circulating tumor cells (CTCs), and cell-free microRNAs (cfmiRs), although unresolved issues remain in their applicability, specificity, sensitivity, and reproducibility. Translational studies demonstrating the clinical utility and importance of cfmiRs in multiple cancers have significantly increased.

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Current treatment outcome of patients with glioblastoma (GBM) remains poor. Following standard therapy, recurrence is universal with limited survival. Tumors from 173 GBM patients are analysed for somatic mutations to generate a personalized peptide vaccine targeting tumor-specific neoantigens.

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Background: Neoadjuvant cisplatin-based chemotherapy (NAC) followed by cystectomy is the standard of care for patients with muscle-invasive bladder cancer (MIBC). Pathologic complete response (pCR) is associated with favorable outcomes, but only 30%-40% of patients achieve that response. The aim of this study is to investigate the role played by the Tumor and Immune Microenvironment (TIME) in association with the clinical outcome of patients with MIBC undergoing NAC.

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Radiation's confounding and adverse effects on tumor microenvironment and normal brain could potentially be delayed by upfront combination treatment. We present a patient with newly diagnosed -mutant, PD-L1-positive glioblastoma treated with off-label RAF/MEK inhibitors encorafenib/binimetinib after progressing on postoperative immune checkpoint blockade and temozolomide (no radiation administered: NCT03425292). Complete response occurred 6 months after adding encorafenib/binimetinib, and clinical benefit was sustained for over 20 months.

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Article Synopsis
  • Metastases, which are the spread of cancer cells to different organs, play a crucial role in the severity of renal cell carcinoma (RCC), with common sites being the lungs, bones, liver, and lymph nodes.
  • This study analyzed 657 tumor samples from both primary renal tumors and various metastatic sites to identify genomic and transcriptomic differences.
  • The findings reveal significant variations in tumor characteristics and the tumor microenvironment across different metastatic locations, highlighting the importance of these factors in creating targeted cancer treatments.
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Leptomeningeal disease (LMD) refers to the infiltration of cancer cells into the leptomeningeal compartment. Leptomeninges are the two membranous layers, called the arachnoid membrane and pia mater. The diffuse nature of LMD poses a challenge to its effective diagnosis and successful management.

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